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Tag: data analytics courses

Top 7 Reasons to Convince You To Take on that Data Analytics Job

Posted on by Imarticus Learning

 

It’s more than just a buzzword, it’s a revolution– data analytics is here and here to stay. For four years in a row, data analytics was ranked the best job in the U.S. alone by Glassdoor in 2019. The data fever is catching on in other parts of the world too, as global economies become more interdependent and related.

More and more companies and industries are embracing data analytics, not least because it’s a science that delivers valuable insights applicable across all plans including business and marketing.

If you’re still hesitating about whether to go for a career in data analytics, allow these top 7 reasons to convince you:

#1: It’s in demand

Data analytics is one of the most in-demand jobs in the world today. This is because all industries need data-driven insights to make even changes, be it to pick a marketing option during A/B testing or rolling out new products. Data analytics is a high-skills, high-stakes job, which is why companies are ready to hire those willing to think creatively and derive data-based solutions to business problems.

#2: It’s easy to start

Educational institutions and course providers have sat up and taken notice of the demand for data analysts, leading them to introduce related training courses. Regardless of whether you’re a fresher or a professional in the tech field, data analytics training can help you start from scratch and build a portfolio of projects to showcase your skills These courses also provide tutorials in essential data analytics software such as Hadoop, Sisense and IBM Watson.

#3: There are plenty of job roles

Within the data analytics field, there are job roles that span academic divisions and aren’t restricted to engineering or software alone. Data scientists, systems analysts and data engineers will benefit from a background in the aforementioned academic fields. However, statisticians and digital marketing executives can look into roles such as quantitative analysts, data analytics consultants and digital marketing managers to put their skills to good use.

#4: The pay is good

The average salary in the data analytics field is US$122,000– a testament to how in-demand the profession is and how in dire need companies are of skilled employees. The figures vary depending on the role and job description but suffice to say that the pay is often much better than other technical jobs that people still seem to hover to by default. It’s also dependent on what industry you will work for, in what capacity and towards which goals.

#5: Growth opportunities abound

Technology is a dynamic field and with new changes come the chance to upskill, pick up new software and contribute to futuristic projects. Data analytics professionals can find themselves growing through roles and projects, oftentimes being tasked to lead a team or be the sole owner of a large-scale project.

#6: Industries are interwoven

With other tech fields, you might be restricted in your tasks or limited to a company. In data analytics, however, you get to pick and choose the fields you want, whether pure tech or even retail. Data analytics is in use across most industries so, once you find your niche, you’re ready to start dabbling in the industry of your choice.

#7: Influences decision-making

If you’ve ever wanted to be part of the larger organizational or business structure and contribute positively, chances are data analytics might be the niche for you. The insights that emerge from analyses of data can power strategies and create new business plans. This way, your contribution leads to progress on an organizational scale and your work can make or break a business.

Data analytics gives you the opportunity to become a more active stakeholder and contributor to any business regardless of the industry, so take the leap today.

Using Near-Miss Algorithm For Imbalanced Datasets!

Posted on by Imarticus Learning

Data scientists are required to obtain, pre-process, and analyze data. Companies can use the insights gathered by data scientists for making important business decisions. While this task seems straightforward, there is a multitude of challenges witnessed by a career in data science.

All seems to be a tedious task, right from learning the fundamentals from data science courses to generating data science. But the major challenge lies in data cleaning for any data science operation. To be specific, 70 percent of the work of a data scientist consists of cleaning and preparing data.

Data Science CoursesAn imbalanced dataset is a typical example of unbalanced data. Let us see how to use the Near-Miss Algorithm for imbalanced datasets.

What is an Imbalance Dataset?

For classification problems, imbalanced datasets are a special case where the distribution between classes is not uniform. They are usually composed of two classes: the majority or negative class and the minority class which is also known as the positive class.

Imagine, in your dataset, you have two categories to predict: Category-A and Category-B. You have a problem with imbalanced datasets when Category-A is higher than Category-B or vice versa.

So how could this be a problem?

Imagine that Category-A contains 90 records in a dataset of 100 rows and Category-B contains 10 records. You run a model for machine learning and end up with 90 percent precision. Then comes the certainty check and you get to realize that the results are not accurate. This is a common error caused by imbalanced datasets.

Near-Miss Algorithm

The Near-miss Algorithm is used to balance an imbalanced dataset and is considered as an algorithm for undersampling and is one of the most powerful ways to balance data.

The Near-Miss algorithm works by observing the class distribution, removing samples located in the higher class. Simply put, if the algorithm witnesses a case in which two near points that pertain to different classes occur, it simply excludes the one from the higher class and ensures that the balance is preserved.

Types of Near-Miss Algorithm

There are 3 main versions of the near-miss algorithm. They are listed as follows:

Type 1: In this type of Near-Miss Algorithm, unbalanced data is improvised by assessing the minimum distance (avg) between the large distribution and three farther small distribution.

Type 2: In this version, the balancing of data occurs by figuring out the distance between ‘n’ neighbors of the data points belonging to smaller classes. The largest distance obtained from this calculation is eliminated.

Type 3: This version involves the calculation of the minimum or shortest base distance between the larger distribution and three other smaller distributions close to it.

Using the Near-Miss Algorithm for an unbalanced dataset

To use the Near-Miss Algorithm for an unbalanced dataset, three major steps are followed. As a part of the first step, the distance between the points belonging to the larger class and the point belonging to the smaller class is considered.

This is done to ensure that the undersampling process is simplified. Moving to the second part, the instances belonging to the larger class are selected. While selecting these instances, it should be noted that only those who have the shortest distance are chosen. As a final step, the algorithm returns m*n instances from the larger class.

Conclusion

The choice for an appropriate method depends on the dataset and the approach as desired by the user. Near-Miss is a popular undersampling technique that is used to deal with imbalanced classes.

However, it is not the only one. Other methods of dealing with unbalanced data include random sampling, SMOTE, etc. Therefore, make sure you are thoroughly aware of the technique before proceeding with it.

Do You Know Data Science Professionals Been Hired The Most ?

Posted on by Imarticus Learning

Data science courses have become increasingly popular in the past few years. That’s because the demand for data science professionals has risen substantially in various industries.

Companies in various sectors recognize the importance of big data and want to use it properly. In the following points, we’ll look at the sectors that hire the most data scientists:

Industries that hire the most data scientists

There are several industries involved in hiring data scientists:

Finance

The finance sector utilizes the expertise of data science professionals the most. It uses data science in determining the growth prospects of its investments, to calculate risk, perform predictive analysis and manage its operations.

Banks also rely on data science to detect and prevent credit card frauds. They use data science to track fraudulent behavior patterns in suspicious clients to identify potential credit card frauds.

When you join a data science course with placement, you’ll surely be working on finance-related projects.

Healthcare

Data scientists work in different avenues of the healthcare sector. Mostly, they work in the research aspect of healthcare and contribute to making trials and testing more efficient. Data science and artificial intelligence help companies in reducing errors and enhancing the efficiency of research processes.

Modern healthcare technologies also utilize the data science to provide better experiences to patients. Data science helps in improving the accuracy of diagnoses and delivers more precise prescriptions to patients.

Entertainment

OTT platforms have revolutionized the entertainment industry. Netflix, Amazon Prime, and Hotstar are now some of the biggest entertainment companies in the world. Netflix has been using data science since it launched its digital subscription service and has been a hot topic for case studies in data science courses in India. It relies on data science to attract more customers, create high-quality content and track its growth.

Data Science Course with Placement in IndiaHow to capitalize on this opportunity

As you can see, the demand for data scientists is constantly growing in multiple industries. Whether you want to enter the entertainment sector or the banking industry, becoming a data scientist will help you in your pursuit.

The best way to start your career in this field is by joining data science courses. While there are many data science courses in India, it’s vital to pick one that suits your requirements and aspirations. You should always check the data science course details, including the data science course fees to ensure they match your criteria.

Currently, it would be best to pick an online data science course in India because it would teach you all the required concepts and skills digitally.

Enrolling in a data science course in India would not only teach you the necessary skills, but it will also make you eligible for pursuing data science roles in various companies.

You can also look for a data science course with placement. It would help you kick-start your career as a data scientist easily and quickly.

Conclusion

Now, you have learned how data science helps numerous industries. You also found out how joining an online data science course in India can help you capitalize on this demand and become a sought-after professional.

Do check out our data science course details such as the data science course fees, if you’re interested in a career in this field.

Unleash a wave of lucrative New Age career opportunities for skilled Data Scientists and Analysts

Posted on by Imarticus Learning

Big data has revolutionized nearly every industry. Whether it’s social media or FMCG, every industry has started utilizing big data; and hence, the demand for data scientists and analysts is sky-rocketing.

In the following points, we’ll explore the scope of data science and analytics careers to find out why it’s worth pursuing a career in these fields.

Fintech CareerJobs of the future – scope of data science and analytics

Data scientists and analysts are big data professionals, which is becoming one of the fastest-growing sectors globally. Experts predict that the global big data market size will grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025.

Big data market size will grow at a Compound Annual Growth Rate (CAGR) of 10.6% during this period, a substantially high speed when you compare it with other industries.

Data scientists and analysts help companies in tackling modern business problems by gathering insights from large amounts of data. From social media to finance, companies of various industries rely on these experts to utilize big data effectively.

Many experts predict that over 14,000 jobs will become obsolete by the end of this decade. Most of these jobs will be lost to automation and changing industry trends. Hence, it’s vital for you to pursue a career in a field that keeps up with the industry’s demands and offers long-term job security.

Data science is quite a new sector. Joining data science courses and starting a career early in this field would help you greatly in advancing your career. If you check the data science course details of most programs, then you’d find that the average data science course fees are very reasonable.

Jobs with great pay – data science and analytics attract lucrative salaries

There’s a lot of demand for data science professionals. So, companies pay lucrative salaries to eligible professionals for these roles. Some of the highest-paying jobs you can get after completing the data science course in India include Data Analyst, Business Analyst, and Data Scientist.

For example, the average salary of a business analyst ranges from INR 2.73 lakh per annum to INR 10 lakh per annum in India. A proper data science course with placement support can help you start your career right away with such roles.

How to pursue a career in data science and analytics

Pursuing a career in data science and analytics can help you tremendously. You can open multiple doors of opportunity for yourself by developing the required skills for this industry.

The best way to learn about data science and analytics is by joining a data science course in India. The best data science courses in India will provide you with dedicated guidance and mentorship, along with a structured curriculum to study from.

Most of the attractive data science courses have quite reasonable fees. Some of the important skills you can learn in an online data science course in India are predictive analysis, machine learning, R, statistical analysis, and plenty of other data science skills.

Joining an online data science course in India would be perfect right now as it allows you to study from your home without going anywhere.

Conclusion

We hope that you found the above article on the opportunities of data science and analytics useful. You can easily start a career in these fields by joining a data science course with placement support.

Visit our site to get additional data science course details and learn more about the best data science courses in India.

Take That Next Step Towards a Rewarding Data Science & Analytics Career With These Analytics Courses

Posted on by Imarticus Learning

Take That Next Step Towards a Rewarding Data Science & Analytics Career With These Analytics Courses

Are you interested in completing a data science course in India but don’t know where to start? Then you’ve come to the right place as we’ll discuss the top data science courses in India and learn how they help you start a career in this fast-growing industry.

All of the courses below have reasonable data science course fees and you can choose according to your requirements and aspirations.

Data Science and Analytics CareerWe’ll discuss the data science course details of our programs in the following points:

Post Graduate Program in Analytics and Artificial Intelligence

Our post-graduate program in analytics and artificial intelligence is among the most popular data science courses in India. We offer this program with UCLA Extension. It is a data science course with placement assurance which means you will get access to our dedicated placement support to our private placement portal and additional services.

The program gives you a dual certification from UCLA Extension and Imarticus Learning. UCLA Extension is one of the oldest and largest higher education providers in the United States. Some of the key concepts you’ll study in this online data science course in India are Machine Learning Algorithms, Deep Learning, Computer Vision, and many more.

Machine Learning and Deep Learning Prodegree

Machine learning refers to the field of developing computer solutions that can perform tasks and learn from them without requiring human intervention. Our Machine Learning and Deep Learning Prodegree will help you learn the required skills to enter this field as a skilled professional.

We offer this program with IBM. The course teaches you machine learning, Python, IBM Watson, and deep learning through 16 in-class and industry projects with a Capstone project as well.

Post Graduate Program in Data Analytics

Our Post Graduate Program in Data Analytics teaches you data science from scratch. It is among the best data science courses for beginners as it covers all the required concepts.

You will learn the foundations of data science and its in-demand tools including Python, R, PowerBI, Tableau, Hadoop, SQL, and Spark. Like our other programs, it is a data science course with placement support to help you start your career right away.

Data Science Prodegree

We offer our data science prodegree with KPMG. The program is industry-aligned and teaches you the most in-demand skills in the industry. You will work on real business case studies and receive project mentorship directly from industry experts.

This online data science course in India teaches you SQL, programming, Tableau, statistics, R, Python, and many other important concepts. You will also work on a KPPG in India Capstone Project by the end of this data science course in India.

Conclusion

Starting a career in data science and analytics is quite simple. All you need is a little effort, commitment, and guidance and the rest is easy.

Now that you’re aware of our data science course details, you can start your learning journey right away. You can find out more information on our data science course fees and eligibility criteria on our website.

Why It Is Right Time To Pursue A Career in AI, ML and Data Science?

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Introduction

The world is all set for a digital transformation. New technologies are disrupting how business is being conducted on a day-to-day basis. Among the most notable of these technologies are Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

These technologies are constantly restructuring the landscape of different economies throughout the globe, as it provides tremendous career opportunities. Moreover, these technologies are also interrelated which gives an individual a chance to build a holistic, well-paying, and satisfying data science career.

Career In Data ScienceWhy now is the Right Time?

We are living in the age of the fourth industrial revolution where everything is expected to be data-driven. Moreover, the pace at which the volume of data is growing is simply astonishing.

According to an IBM survey, 90 % of the data available has been created in the last two years. Technological devices like smartphones, tablets, and laptops have revolutionized the way users interact with the internet, and this number of users is also increasing at an exponential speed.

Now, accumulating data is not enough. An analysis of data is required to produce insights that can help in the curation of actionable results. This is exactly where the tools of AI, ML, and Data Science become relevant. These tools leverage various techniques from mathematics, statistical modeling, data engineering, data visualization, computer programming, cloud computing, etc.

To extract the insights from data collected by an organization. Now, this insight forms the basis of strategic decision-making in any organization. It is used to create targeted ads, augment customer experiences on company websites, reduce costs, forecasting demands, and so on. Therefore, the application of predictive algorithms like AI, ML, and data sciences are pervasive throughout different functional domains.

Again, these tools are used across different organizations as well. Governments, Corporates, Brands all are leveraging the advancements in technology to create an entire automated, data-driven ecosystem. Therefore, naturally, there has been an upsurge in the demand for data science courses in India and data science jobs across industries and functions. It is estimated that in India close to half a lakh positions have opened up.

Data Science CareerFrom an Indian context only, a typical data scientist is expected to receive a salary of around INR 9 lakhs p.a. Similarly the salary figures for AI and ML engineers would lie at around INR 5.5 lakhs p.a. and INR 11 lakhs p.a. respectively. Therefore, a six-salary figure makes a career in these disruptive technologies even more attractive.

With the pandemic changing the operation models across industries and functions, it can be safely assumed that technology is going to become even more relevant. Data Science, AI, and ML have a steep learning curve more and more organizations are adopting newer and agile techniques.

From expensive platforms, SPSS, SAS, etc. and organizations are now moving to open resource platforms like python and R. Therefore, technology is no more the future anymore; it is here and those who are passionate about it can find a lucrative career opportunity in AI, ML and Data Science.

Imarticus Special: 25% off on Data Analytics Courses!

Posted on by Imarticus Learning

What is data analytics?

In the contemporary landscape, data science is at the core of every industry that leverages progressive technology to target and reaches its audience. Data analytics has multiple aspects and can be explained as the process of cleaning, transforming and analyzing data to obtain valuable insights and draw important conclusions. The significance and vitality of data analytics are such that it can help to decode the world around us using statistical figures.

In the digital era, an enormous amount of data is generated and stored regularly from people all across the globe. Whether you are using your social media account or making a purchase online through your favorite e-commerce store, all the internet powered activities generates data that is stored electronically for future reference. Businesses are using data analytics to extract useful information about the customers that can help them design their products and services as per the customer’s need and demand. Some of the key aspects of using data analytics are listed below.

Identifying secret insights

Data is analyzed by businesses to obtain hidden insights that couldn’t have been normally obtained; these secret insights are used as per the requirements of the corporations. Data analytics helps to identify trends and patterns that help to project prospects.

Conduct market analysis

Conducting market analysis is an important application of data analytics. It helps to understand consumer behavior, the general trends and competitor’s strategies. It can help to find out the strength and weaknesses of other players in the industry.

Why opt for a data analytic course?

As we have already established that data science and analytics are at the core of corporate operations. Data analytics has gained widespread popularity in the last decade given the benefits it has to offer to businesses. This has caused a surge in demand for data analytics professionals.

As per the latest estimates, the demand for data analytics professionals in the industry is much higher than the current supply of professionals who are equipped to handle complex data. The data analytics industry is estimated to grow multiple-folds in the coming decade as more and more companies will adopt data science for smart decision making. A career in the field of data analytics is very rewarding and lucrative for those who are interested in making sense of facts and figures.

Imarticus data analytics courses

Imarticus Learning is a technology-driven educational institute that provides an immersive learning experience to students who want to kick start their career in industries such as analytics, financial services, AIML, business analysis, etc. The primary objective of Imarticus Learning is to reduce the skills gap that persists in the economy. The courses offered by Imarticus takes a comprehensive approach to learn both the theoretical and practical aspects of the subject.

Imarticus postgraduate data analytics course is among the best data analytics program available online. It is a well-designed postgraduate data analytics program that studies duration of 450+ hours. The training course takes a hands-on-learning approach to cover foundational concepts of the best analytical tools such as R, Python, SAS, Hive, Spark, and Tableau.

The whole PG program is spread across three semesters. In addition to the theoretical understanding of the data analytics related concepts, students will also gain practical exposure through case studies, live capstone projects, hackathons, and mentorship by industry experts.  The course also entails mock interviews to boost your employability, industry leaders for guidance, placement assurance and much more.

Imarticus Learning is providing a limited period offer on its special data analytics course. Enroll without any delay to avail 25% off on your data analytics course!

What Are the 6 Applications of Predictive Analytics in Business Intelligence?

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Understanding Predictive Analytics

The data science discipline has gained huge popularity among corporations given its ability to decode insights from seemingly irrelevant pieces of daily information. Data analytics training is in high demand given the paucity of professionals in the field of data science. Predictive analytics can be understood as a highly advanced version of analytics that is being used to make predictions about unforeseen future events.

The predictive analytics process entails a range of statistical methods like data mining, machine learning, predictive modeling, etc. All these methods are applied to analyze historical and current data to make future predictions. Let’s jump over to some of the most prominent applications of the predictive analytics method in the field of business intelligence.

Audience Targeting 

With the advent of advanced analytics methods like predictive analytics, the marketing game has changed. Audience targeting is all about the personalization of marketing communication with the customer. Here a customer base is segregated into groups based on extensive factors other than the commonly used age, gender, occupation. These factors might include interest, likes, spending habits, transaction history, etc. This helps companies to customize their messaging as per the audience profile and predict those who are more likely to purchase the goods or services.

Risk Analysis

The risk analysis process is a complex one and it plays a huge role in the success of any business venture. It helps to analyze and predict the problems which might occur for a business based on a complex understanding of the variables that affect the business. Predictive analytics is used in this context to help build decision support systems that can help determine the profitability of any business operation. A possible application of this technique is in the banking sector for analyzing the credit risk of borrowers. The variables related to borrowers are factored in to derive conclusions.

Revenue Forecast

Sales forecasting is an important aspect of business intelligence. Any given corporation has to think about the revenue that it’ll generate in the near future. The sales forecast is a complex process involving a lot of variables that influence the sales figures. These variables might include seasonality, market events, macroeconomic factors, general industry trends, etc. Data mining techniques can help assess consumer preference and outlook after factoring in all these variables. The end goal is to predict the demand for a given product or service produced by a firm.

Churn Avoidance 

The cost of acquiring a new customer for any business is far greater than the cost of retaining an existing one. This is why churn prevention is important for enterprises. Churn prevention helps to analyse and predict when and why customers decide to switch to other brands and end their relationship with the company. The companies can maintain a proactive approach to retain their existing customer using predictive analytics by leveraging big customer data sets.

Financial Modelling

The main goal of financial modelling is to create a simplified model of the complex real-world financial landscape that will help to predict and assess the performance of various financial assets. These are mathematical models designed to represent the quantitative performance of financial assets in the near future. In simpler terms, it is all about converting the hypothesis and assumptions regarding the financial markets into numeric figures that represent performance.

Market Analysis

The 21st-century businesses are all about understanding the needs and wants of customers and providing adequate solutions in terms of products and services. It’s far from the traditional business approach of forcing a product or a service using rigorous marketing. Understanding consumer needs requires conducting surveys. Market analysis using surveys helps businesses to understand their customers better, this results in increased profitability and high customer retention.

Top Reasons Why Big Data Analytics Is One of the Best Career Moves!

Posted on by Imarticus Learning

What is Big Data?

We are living in an era where we consume data more than anything, be it food or water or even electricity. If you use technology to help yourself in your day to day chores or if surfing the internet to find information for your purpose is an on-going thing, you are one of the beneficiaries of the big data.

So what exactly is the big data? In the most basic sense, big data can be understood as the collection of data that is extremely large in size and is accumulated on a continuous basis.

Big Data AnalyticsIf we go by the general definition of it, the big data is an industry that deals with systematic extraction and storage of information in the form of data from various data points; it also helps to perform complex analysis of extremely large data sets.

The data stored is used to perform analysis to identify patterns, trends or establish association and relationship among different variables especially relating to human behavior and interactions. Examples of some big data sets include data generated by the stock exchanges, social media sites, etc.

Many big corporations are using big data today to gain customer insights and design their policies and price their products accordingly to gain maximum output from their investment on customer acquisition and other areas.

Big data analytics as a career option

In the contemporary world data is the fuel for exponential growth. Corporations today use data in conjunction with other progressive technologies like the machine learning and artificial intelligence to help process large piles of information and gain valuable insights from the same. The new technologies not only help to do too much in too little time but it also minimizes the chance for random human error, which is very likely when dealing with an extremely large amount of data set.

Since the big data is a fairly new field, very little is known about the career options and the work required to build a career in the domain. If we were to compare it with traditional occupations that are held in high regard, data analysts have a similar role to play as the doctors in our lives. Basically, they are the doctors for data, who help to analyze and scrutinize data and find any anomalies if they exist.

Big Data Analytics CareerThe most important factor why big data analytics is a good career option can be understood through the lens of general economics.

At present the demand for data analytics professionals in the industry is higher than the labor supply for the same, this means that it’s not only a growing field but also the one with higher perks and remuneration.

According to IBM reports the jobs in the data industry in the US alone will increase to 2720000 by 2020, higher than the current supply of professionals in the field. A career in big data is the most sought after especially in the developed economies.

According to sources, the current size of the analytics market is around one-tenth of the global IT market and is assumed to grow and become one-third of the global IT market in the coming years, another reason why it’s a good career move.

Finance and Analytics online coursesThe number of job posting on some of the reputed job portals has also shown a significant increase from the previous year indicating high growth in the field.

Big data analytics adoption is growing with the minute, another important indicator that favors the career move in the data industry is the increase in companies that are adopting big data analytics to improve their day to day functioning and cut their costs on futile marketing and advertisement.

The use of big data helps to make things more contextual for the customers and optimize the output and price for the brand in the process. The big data course is designed to help develop a comprehensive understanding of the subject and is beneficial for those who are eying for a career in this field.

How Analytics Can Help You Prevent Customer Problems Before They Arise?

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How Analytics Can Help You Prevent Customer Problems Before They Arise?

It has been proven time and again that establishing customer loyalty is a necessity for companies these days for the simple reason that it needs one-seventh of the resources needed to acquire a new customer. Although the agenda is clear, it’s not that easy these days. With an abundance of choices among consumers in today’s markets, it has become really hard to stop them from switching to a competitor and maintaining loyalty to your company.
Foreseeing a difficult situation before it arises is imperative for any business to get successful and with such an abundance of data in the modern age, organizations can work to address problems and minimize customer problems even before most of them arise. Data analytics, more importantly, Predictive Data Analytics helps companies do that.
A major industry where this can be seen in abundance is the mobile retail industry where the majority of those who come for mobile replacement claim the device is not working properly, while mostly they don’t always know how to use it properly.
Preparing for the unseen
Many people say that you can’t count the number of chicks before hatching, well Predictive Data Analytics can do it for you.
Predictive Data Analytics can be used to predict customer behaviour by utilizing the purchasing and visiting patterns. With modern technology so advanced businesses can use the data prediction tools to get an advanced idea of buyer demographics and plan out their orders and strategies accordingly. A major industrial example of the same is Price Optimizer Software. Companies these days use price optimizer software to determine how consumers will respond to a particular price for their product.
Three of the data predicting models have been mentioned here, these are:-
Data from Visiting
Collecting data on parameters such as the number of visits on the sites, duration of these visits, locations visited and duration since the last visit, businesses can accurately predict the purchasing patterns of a customer concerning the future visits and purchases. This important data gives these businesses an edge which allows them to classify and plan accordingly so that they can ensure regular visits as well as the loyalty of customers.
Predicting the Particulars
Predictive Analytics can also make available the location as well as online as well as offline data to the retail marketers and armed with knowing who the buyers are and by analyzing their website and shop visits retail marketers can successfully predict the buyer’s visit with accuracy up to a really small timeframe.
Certainty Establishment
Retailers can use Predictive Data Analytics to personalize the services provided to an individual or group. A business must have proper marketing techniques and strategies which cover every group and individual alike. With regards to the purchasing decisions, there are many traits to a customer’s overall behavior and when these traits are separated and smartly implemented by companies and businesses, they’ll be becoming better in identifying and segmenting different customers according to the wants and needs.
Conclusion
Several companies these days are trying to leverage the power of Predictive Data Analytics to outgrow their bottom lines and grow their businesses while effectively combating problems before they even arise. With excellent data analysts at their disposal, these companies can effectively predict customer behaviour and get better in predicting customer problems.

Imarticus Learning is adamant about providing the data science enthusiasts with an opportunity to grow their skills in data analytics and benefit from the ever-increasing need of ever-increasing data analysts. The Data Analytics PG course available at Imarticus Learning can be useful for both companies as well as employees to get their data science skills up to date and benefit.